Education

Chungbuk National University, M.S. in Department of Physics, Cheongju, Korea     03/2023 - Present

Chungbuk National University, B.S. in Department of Physics, Cheongju, Korea     02/2023

Research Interests

Identifying cosmic signatures of inflationary particles

Identifying Untapped Signatures of New Particles at the Colliders

Awards

Outstanding Presentation Award,     05/2022

The Korean Physical Society (KPS)

Publications*

(*The convention intheoretical particle physicsis to listauthors in alphabetical order)

1. T. Flacke, J. H. Kim, M. Kunkel, P. Ko, J. S. Pi, and W. Porod, Hunting and identifying coloured resonances in four top events with machine learning, arXiv:2506.04318.

2. A.Banik, J. H. Kim, J. S. Pi and Y. Tai, Echoes of Self-Interacting Dark Matter from Binary Black Hole Mergers, Under Review at Phys. Rev. Lett, arXiv:2503.08787.

3. A. Y. Choi, S. H. Lim, J. H. Kim, and J. S. Pi, Leveraging Transformers for Cosmological Parameter Estimation from a Large Scale Structure, New Phys.Sae Mulli 73 (2023) 9, 785-800,

4. T. Flacke, J. H. Kim, M. Kunkel, P. Ko, J. S. Pi, W. Porod, and L. Schwarze, Uncovering Doubly Charged Scalars with Dominant Three-body Decays Using Machine Learning, JHEP 11 (2023) 009, arXiv:2304.09195.

5. L. Huang, S. Kang, J. H. Kim, K. C. Kong, and J. S. Pi, Portraying double Higgs at the Large Hadron Collider II, JHEP 08 (2022) 114, arXiv:2203.11951.

Studies in Progress

Selected Schools

QUC Summer School on "A.I. in High Energy Physics", KIAS     07/2022

KIAS Particle Physics Summer Camp 2022, KIAS     08/2022

Extended Visits

Visitor at University of Würzburg     06/2022

Visitor at University of Notre Dame     04/2025

Professional Memberships

Korean Physical Society (KPS)

Computing Skills

Languages

Mathematica, C++, Python

Machine Learning

Dense Neural Networks, Recurrent Neural Networks (RNN), Long Short-Time Memory (LSTM), Convolutional Neural Networks (CNN), Residual Neural Networks (ResNet), Capsule Neural Networks, Matrix Capsule Neural Networks, Graph Neural Networks (GNN), Spiking Neural Networks (SNN), Vision Transformer (ViT), Data-efficient image Transformer (DeiT), Swin Transformer (Swin), Convolutional Vision Transformer (CvT) based on PyTorch frameworks.

Collider Analysis

MadGraph5_aMC@NLO, FeynRules and NLOCT packages, Pythia, FastJet, Delphes

Analytic Matrix Element and Loop Calculations

FeynArts, FormCalc, LoopTools, Package X

Tools for Cosmology

Cosmic Linear Anisotropy Solving System (CLASS), Monte Python (Monte Carlo code for cosmological parameter extraction), GADGET-2,3,4, FastPM (cosmological N-body simulations) and KETJU

Languages

English and Korean (Native)

Supervisor

Prof. Jeong Han Kim

Department of Physics, S1-1,

chungdae-ro 1, Seowon-gu, Cheongju-si,

Chungcheongbuk-do, Republic of Korea

Email: jeonghan.kim@cbnu.ac.kr